Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data

B. C. Beh; M. Z. MatJafri; H. S. Lim

doi:10.1117/12.2195435

14 October 2015 Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data

B. C. Beh, M. Z. MatJafri, H. S. Lim

Proceedings Volume 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII; 96370E (2015) https://doi.org/10.1117/12.2195435
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Mangrove vegetation is widely employed and studied as it is a unique ecosystem which is able to provide plenty of goods and applications to our country. In this paper, high resolution airborne image data obtained the flight mission on Kuala Sepetang Mangrove Forest Reserve, Perak, Malaysia will be used for mangrove species mapping. Supervised classification using the retrieved surface reflectance will be performed to classify the airborne data using Geomatica 2013 software package. The ground truth data will be used to validate the classification accuracy. High correlation of R²=0.873 was achieved in this study indicate that high resolution airborne data is reliable and suitable used for mangrove species mapping.

Citation Download Citation

B. C. Beh, M. Z. MatJafri, and H. S. Lim "Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data", Proc. SPIE 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 96370E (14 October 2015); https://doi.org/10.1117/12.2195435

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available